AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWe are looking for a Senior Data Engineer to build and maintain data pipelines and GTM data assets that power a Go-To-Market revenue engine including lead routing, advertiser identity resolution, and campaign segmentation. You will work across Snowflake, Salesforce Data Cloud, and GCP, model and maintain GTM data marts using Python and dbt or Airflow, and support data quality and schema management for revenue analytics and Sales tooling. The role requires 4+ years of data engineering experience with strong SQL, Snowflake, and CRM data familiarity.WHAT YOU WILL DO- Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.- Model and maintain GTM data assets: parent company, advertiser identity, lead enrichment, revenue data.- Collaborate with engineers and PMs on GTMDR JIRA project deliverables.- Write and optimize SQL/IQL queries for reporting and analytics use cases.- Support data quality, validation, and schema management across GTM data marts.MUST HAVES- 4+ years of experience in Data Engineering or similar roles.- Strong SQL / Snowflake experience.- Strong Python scripting experience for data transformation.- ETL/ELT pipeline development (dbt, Airflow, or similar).- GCP or AWS cloud data platform experience.- Familiarity with CRM data (leads, contacts, accounts, opportunities).- Salesforce data models: Hands-on experience modeling and processing data sourced directly from Salesforce CRM (strong must).- Upper-intermediate English level.NICE TO HAVES- Experience with Salesforce SOQL, ZoomInfo/D&B data enrichment, or GTM/revenue analytics.- Experience with Salesforce Data Cloud.PERKS AND BENEFITS- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized- Well-being & support: access local well-being programs and people-focused support tailored to your locationAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWe are looking for a Senior Data Engineer to build and maintain data pipelines and GTM data assets that power a Go-To-Market revenue engine including lead routing, advertiser identity resolution, and campaign segmentation. You will work across Snowflake, Salesforce Data Cloud, and GCP, model and maintain GTM data marts using Python and dbt or Airflow, and support data quality and schema management for revenue analytics and Sales tooling. The role requires 4+ years of data engineering experience with strong SQL, Snowflake, and CRM data familiarity.WHAT YOU WILL DO- Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.- Model and maintain GTM data assets: parent company, advertiser identity, lead enrichment, revenue data.- Collaborate with engineers and PMs on GTMDR JIRA project deliverables.- Write and optimize SQL/IQL queries for reporting and analytics use cases.- Support data quality, validation, and schema management across GTM data marts.MUST HAVES- 4+ years of experience in Data Engineering or similar roles.- Strong SQL / Snowflake experience.- Strong Python scripting experience for data transformation.- ETL/ELT pipeline development (dbt, Airflow, or similar).- GCP or AWS cloud data platform experience.- Familiarity with CRM data (leads, contacts, accounts, opportunities).- Salesforce data models: Hands-on experience modeling and processing data sourced directly from Salesforce CRM (strong must).- Upper-intermediate English level.NICE TO HAVES- Experience with Salesforce SOQL, ZoomInfo/D&B data enrichment, or GTM/revenue analytics.- Experience with Salesforce Data Cloud.PERKS AND BENEFITS- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized- Well-being & support: access local well-being programs and people-focused support tailored to your locationAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN US
WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLE
ABOUT THE ROLEWe are looking for a Senior Data Engineer to build and maintain data pipelines and GTM data assets that power a Go-To-Market revenue engine including lead routing, advertiser identity resolution, and campaign segmentation. You will work across Snowflake, Salesforce Data Cloud, and GCP, model and maintain GTM data marts using Python and dbt or Airflow, and support data quality and schema management for revenue analytics and Sales tooling. The role requires 4+ years of data engineering experience with strong SQL, Snowflake, and CRM data familiarity.
Senior Data EngineerWHAT YOU WILL DO
WHAT YOU WILL DO- Build and maintain data pipelines across Snowflake, Salesforce Data Cloud, and GCP.- Model and maintain GTM data assets: parent company, advertiser identity, lead enrichment, revenue data.- Collaborate with engineers and PMs on GTMDR JIRA project deliverables.- Write and optimize SQL/IQL queries for reporting and analytics use cases.- Support data quality, validation, and schema management across GTM data marts.MUST HAVES
MUST HAVES- 4+ years of experience in Data Engineering or similar roles.
4+ years of experience in Data Engineering or similar roles- Strong SQL / Snowflake experience.
SQL / Snowflake- Strong Python scripting experience for data transformation.
Python- ETL/ELT pipeline development (dbt, Airflow, or similar).
ETL/ELT pipeline development- GCP or AWS cloud data platform experience.
GCP or AWS- Familiarity with CRM data (leads, contacts, accounts, opportunities).
CRM data- Salesforce data models: Hands-on experience modeling and processing data sourced directly from Salesforce CRM (strong must).
Salesforce data models- Upper-intermediate English level.NICE TO HAVES
NICE TO HAVES- Experience with Salesforce SOQL, ZoomInfo/D&B data enrichment, or GTM/revenue analytics.- Experience with Salesforce Data Cloud.PERKS AND BENEFITS
PERKS AND BENEFITS- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
Growth without limits- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
Competitive compensation- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
Flexibility- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
Meaningful, modern projects- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
Collaborative culture- Well-being & support: access local well-being programs and people-focused support tailored to your location
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